with fully automated proactive alerts before problems hit your customers.
RAVE uses deep learning and AI to globally scan your eCommerce website for issues multiple times a day across all categories, products, variations, geographies, languages and currencies. Ensure your customers have a flawless checkout experience to drive maximum revenue.
Get real-time alerts for:
Pricing, inventory, and product accuracy discrepancies.
User experience, page accessibility, and conversion rate blockers.
Language and currency disparities per serviceable geographic regions.
We help VPs of eCommerce, marketing & operations teams answer questions like:
What percent of my paid advertising spend bounces due to inaccurate stock status or product attributes?
What pages on my site suffer conversion declines due to usability issues not uncovered by traditional website monitoring and SEO tools?
What conversion lift will I see from ensuring 100% accurate inventory status across all products?
What impact will fixing pricing, inventory and product attribute inconsistencies have on the average order value?
To what level can I decrease abandoned carts with proactive automated alerts vs. responding to customer complaints?
Assuming 1 Product = $50
1002
Broken
CTAs
per Product per Year
997
Erroneous
Atributes
per Product per Year
2006
Erroneous
Out of Stock
products per Year
251
404s
per page per Year